Evidence map›Paper›PMID 42375392›Full record

ArticleResearch in autism2026

Brief report: A survey of California state court judges on a case vignette involving a defendant with Autism Spectrum Disorder (ASD).

Carolina R Caliman, Colleen M Berryessa

Abstract read
In one paragraph

Article in Research in autism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Carolina R CalimanRutgers University, School of Criminal Justice, Newark, NJ, United States.
Colleen M BerryessaRutgers University, School of Criminal Justice, Newark, NJ, United States.

Funding

Center for Integration of Research on Genetics and EthicsP50HG003389 · NHGRI · STANFORD UNIVERSITY · PI CHO, MILDRED K. · 2004 to 2014
$9.9M
NHGRI NIH HHS P50 HG003389
6 · The paper itself

Abstract

Purpose: This brief report examines the impact of a defendant's Autism Spectrum Disorder (ASD) diagnosis, as well as the influence of expert testimony and genetic evidence, on the perceptions, knowledge, and sentencing views of a sample of state court judges in the U.S. Methods: Data were collected from sixty-one California Superior Court judges who responded to a survey featuring a structured case study about a defendant diagnosed with ASD. The survey assessed judges' views on the influence of the defendant's ASD diagnosis and its genetic etiological influences on sentencing, responsibility, and perceptions of the defendant's behavior. Results: Findings indicate that most judges believe that an ASD diagnosis and its genetic influences would influence their sentencing decisions, with almost all considering it a mitigating factor to sentencing, but that it did not substantially affect a defendant's legal responsibility. Survey responses revealed significant gaps in judges' knowledge about ASD, underscoring the need for enhanced judicial training. Conclusion: Findings highlight the influence of ASD and behavioral genetic evidence on judicial views and potential decision-making in cases involving defendants with ASD, indicating a clear need for improved access to education and resources on the disorder. Addressing these educational gaps can help the criminal justice system better accommodate the complexities associated with scientific and ASD evidence, which may promote more equitable treatment for defendants with ASD.

Indexed as

Autism Spectrum DisorderDecision-makingExpert testimonyJudgesMental healthSentencing

Identifiers

PMID42375392
PMCPMC13313596

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.